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Conference Spotlight
2026 ANS Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
Standards Program
The Standards Committee is responsible for the development and maintenance of voluntary consensus standards that address the design, analysis, and operation of components, systems, and facilities related to the application of nuclear science and technology. Find out What’s New, check out the Standards Store, or Get Involved today!
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Nuclear Science and Engineering
January 2026
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December 2025
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November 2025
Latest News
AI at work: Southern Nuclear’s adoption of Copilot agents drives fleet forward
Southern Nuclear is leading the charge in artificial intelligence integration, with employee-developed applications driving efficiencies in maintenance, operations, safety, and performance.
The tools span all roles within the company, with thousands of documented uses throughout the fleet, including improved maintenance efficiency, risk awareness in maintenance activities, and better-informed decision-making. The data-intensive process of preparing for and executing maintenance operations is streamlined by leveraging AI to put the right information at the fingertips for maintenance leaders, planners, schedulers, engineers, and technicians.
Technical Session|Sponsored by MCD
Wednesday, June 15, 2022|1:00–2:45PM PDT|Avila B
Session Chair:
Madicken Munk (Univ. Illinois, Urbana-Champaign)
Alternate Chair:
Alex Robinson (LLNL)
Session Organizer:
Brian C. Kiedrowski (Univ. Michigan)
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Why is Uncertainty Quantification Hard for Industrial Users?
Graham Macpherson (Frazer-Nash Consultancy), Neil Headings (Frazer-Nash Consultancy)
Paper
Numerical Investigation on the Performance of a Variance Deconvolution Estimator
Kayla Clements (Oregon State ), Gianluca Geraci (Sandia), Aaron Olson (Sandia)
Quantification of Deep Neural Networks Approximation Uncertainties for Transient Simulations
Mahmoud Yaseen (NCSU), Xu Wu (NCSU)
Analysis of Nuclear Research Reactor Experiments Using Machine Learning
Roberto E. Fairhurst-Agosta (Univ. Illinois, Urbana-Champaign), Tomasz Kozlowski (Univ. Illinois, Urbana-Champaign)
Data Augmentation with Generative Adversarial Networks
Farah Alsafadi (NCSU), Xu Wu (NCSU)
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